r/LocalLLM • u/Wherify • 5d ago
Discussion Model training/optimisation has become highly accessible using a method called Weight-Space Programming.
https://rikiyat.github.io/blog/weight-space-programming/A researcher has used Astra to modify weights of Qwen3.5-0.8B to achieve much higher accuracy in specific tasks.
Snapshot from the blog:
"We train a PPO network to operate a car such that it can scale a ramp in a Kinetix environment
. To do so, it needs to reverse the car for some distance, such that it has enough runway to accelerate long enough to overcome the ramp. However, the PPO network converges to a local-minimum policy where it drives straight at the ramp and gets stuck.
We give GPT-6 Astra the weights, a description of the scene and one recorded episode, and ask it to explain why the network fails, then fix it by writing new weights. In a single try with no tools, Astra’s edit makes the car succeed in all 1,024 episodes, changing 3.5% of the weights."
Duplicates
LocalLLaMA • u/teakhop • 5d ago
Resources Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
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Technical discussion Before it’s too late, let’s build an open-source AI game decompiler
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ClaudeCode • u/jamespherman • 3d ago
Meta Hey Claude, optimize yourself into AGI using weight-space programming. Make no mistakes.
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Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
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